دانلود مقاله ISI انگلیسی شماره 2452
عنوان فارسی مقاله

توسعه مدل های رضایت مشتری برای مواد داخلی خودرو

کد مقاله سال انتشار مقاله انگلیسی ترجمه فارسی تعداد کلمات
2452 2006 8 صفحه PDF سفارش دهید 4930 کلمه
خرید مقاله
پس از پرداخت، فوراً می توانید مقاله را دانلود فرمایید.
عنوان انگلیسی
Development of customer satisfaction models for automotive interior materials
منبع

Publisher : Elsevier - Science Direct (الزویر - ساینس دایرکت)

Journal : International Journal of Industrial Ergonomics, Volume 36, Issue 4, April 2006, Pages 323–330

کلمات کلیدی
مواد داخلی خودرو - مدل رضایت مشتری - تجزیه و تحلیل کمی - غربالگری متغیر - اهمیت نسبی متغیر - قابلیت طراحی ترجیحی
پیش نمایش مقاله
پیش نمایش مقاله توسعه مدل های رضایت مشتری برای مواد داخلی خودرو

چکیده انگلیسی

As the functional characteristics of passenger vehicles reach satisfactory levels, customers’ concerns with the ergonomic and aesthetic aspects of the interior design have increased. The present study developed satisfaction models of automotive interior materials for six parts including crash pad, steering wheel, transmission gearshift knob, audio panel, metal grain inlay, and wood grain inlay. Based on literature survey, customer reviews on the web, and expert opinions, 8–15 material design variables were defined for the interior parts. The material design characteristics of 30 vehicle interiors were measured and customer satisfaction with the vehicle interiors was evaluated by 30 participants in the 20–30-year-old range. The material design variables were screened by evaluating their statistical, technical, and practical significance and satisfaction models were developed by quantification I analysis. The satisfaction models were used to identify relatively important design variables and preferred design features for the interior parts. Relevance to industry User satisfaction is an important aspect in the design of a human–system interface. The model development process presented in the present study is applicable to establish a user satisfaction model by evaluating design variables in terms of statistical, technical, and practical significance.

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